Results 131 to 140 of about 10,510,072 (298)
CKMT1 inhibits VDAC1 oligomerization via a dual‐region mechanism: its NTD interacts with the VDAC1 C‐terminal domain, while residues 1–39 sterically hinder dimerization, thereby reducing mtDNA leakage and AIM2 inflammasome activation, suppressing neuronal pyroptosis and protecting against cerebral ischemic injury. ABSTRACT Ischemic stroke is one of the
Xiaoyu Wang +17 more
wiley +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Bushra Ali Sherazi,1,2 Shahzad Ahmad Sayyed,1 Kathrin Möllenhoff,3 Stephanie Läer1 1Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University, Düsseldorf, 40225, Germany; 2Institute of Pharmacy, Faculty of Pharmaceutical and Allied ...
Ali Sherazi B +3 more
doaj
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
Indeks Pharmacy Desember ...
(Pharmaceutical Journal Of Indonesia), PHARMACY: Jurnal Farmasi Indonesia
core
Current Standards of Monitoring Models in Healthcare Settings
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay +5 more
wiley +1 more source
How much material loss is concealed beneath a layer of corrosion products? This proof‐of‐concept study demonstrates how concealed volume loss is inferred from the optical appearance and as‐exposed surface topography of AZ31 corrosion imprints. By predicting postcleaning depth maps, a multimodal U‐Net model estimates hidden volume loss without chromic ...
Lars Dammann +8 more
wiley +1 more source
Current perspectives on pharmacist home visits: do we keep reinventing the wheel?
Priti S Flanagan,1,2 Andrea Barns1 1Pharmacy Community Programs, Lower Mainland Pharmacy Services, Langley, BC, Canada; 2Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada Abstract: The scope of clinical pharmacy ...
Flanagan PS, Barns A
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